If you build it, they will come. However, if you buy it, you could save some funds. Every project is different. There are out-of-the-box open source data science platforms, but typically they require some degree of understanding and are insufficient for large complicated projects. On the other hand, when building large data science projects it’s easy to quickly exceed estimated costs, depending on the complexity, feature creep, integration issues, etc.
The good news is, it doesn’t have to be one or the other. With proper planning, needs assessment, and specific goals, both large and small projects can be achieved efficiently and cost-effectively. We will explore these issues in this episode of DM Radio!